Telephone: 0208 942 5724

Email: info@aspecttraining.co.uk

YOUR COURSE, YOUR WAY - MORE EFFECTIVE IT TRAINING - NOW VIRTUALLY

Telephone: 0208 942 5724

Email: info@aspecttraining.co.uk

YOUR COURSE, YOUR WAY - MORE EFFECTIVE IT TRAINING

Do you get overwhelmed by complicated lingo and want a course that is easy to follow, detailed and presented to make the process enjoyable?

If so, our “R Programming for Beginners” is THE course for you!

It covers the most essential topics you must learn to begin programming with R.

With more than two million global users, the R language is rapidly turning into a top programming language specifically in the space of data science as well as statistics. What you are going to learn on this course is how to master the fundamentals of the open-source programming language which includes vectors, data frames and lists.

No prerequisites are required for this course

A Brief History of R

What exactly is R Programming

What are the benefits of using R language

Entering Commands in the Console Window

Performing simple calculations

Using a Function

Storing calculated values

Sourcing a Script

Expressions

Constants

Arithmetic

Conditions

Function calls

Symbols

Keywords

Naming Variables

Ways to vectorize Functions

Passing Arguments to Functions

Making your code plain and readable

Finding R Packages

Installing a Package

Loading and unloading Packages

Arithmetic Operators

Using Mathematical Functions

Logarithms and Exponentials

Infinity Function

Dealing with lost values

Creating Vectors

Combining Vectors

Repeating Vectors

Getting values in and out of Vectors

The Indexing System

Extracting values from Vectors

Changing Vector values

Comparing values

Vectors as Indices

Merging Logical statements

Creating and assigning Named Vectors

Manipulating text

Splitting text

Concatenating text

Date Functions

Adding Time Details to Dates

Creating a Matrix

Ways to combine Vectors into Matrix

Calculating with Matrices

Building a Data-Frame from a Matrix

Other ways to create a Data-Frame

Manipulating Data Frame values

Extracting Data-Frame values

Assuming Data-Frames as a Matrix

Creating a List

Unnamed Lists

Named Lists

Combining Lists

Creating a Script

Transforming a Script into a Function

Using the Function

Using Arguments, the smart way

The ‘multiply’ Argument

Default values

If statements

If…Else statements

For Loop

Computing values in a For Loop

Error Types

Interpreting warnings and errors

Browsing through a Function

Entering Data in the Text Editor

Using the Clipboard

Importing Data

Exporting Data

Choosing the right Data-Structure

Basic Subset Operators

Specifying the Subset

Summarising your Data

Counting unique values

Preparing Data

Using Base Graphics

Creating Plots

Adding points to a Plot

Creating a Lattice Plot

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